About the Role:

The Machine Learning team at Tubi works on core algorithms that define the entire experience of its 33 million users. We work on different areas such as recommendations, search, content understanding, and ads. We are searching for a talented and motivated Machine Learning Engineer to join our team to develop and improve our core search algorithms. In this role, you will take full ownership of tackling problems in Tubi’s search system, from algorithm research and development through prototyping, productionisation, and experimentation. You will work with a variety of machine learning algorithms, from traditional models to cutting-edge LLM technologies, to address relevant problems. You need a strong background in machine learning, hands-on development skills to tackle some of the challenges in a fast-paced dynamic environment, and the ability to collaborate well in a cross-functional setting. The tech stack you will be working with is Spark, Scala, and Python, including PyTorch. 

Responsibilities:

• Design and build end-to-end machine learning models for search applications from analysis through production
• Conduct A/B tests to prove your ideas and share your learnings from the experiment results
• Collaborate with Product and backend engineering teams to ship high-impact features 

Requirements:

• 4 years of experience in machine learning engineering with production systems using Scala, Python, and Apache Spark
• Experience owning recommendation or search models 
• MSc or PhD in Computer Science, Statistics, Applied Mathematics, Physics, or other technical field. PhD preferred

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